Cheng-hsin Luo

Information Retrieval & Search · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Cheng-hsin Luo trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Tetsuya Sakai
  2. Ben Carterette
  3. C. Burges
  4. C. Clarke
  5. Kalervo Järvelin
  6. Eddy Maddalena
  7. Nick Craswell
  8. Paul N. Bennett
  9. Yiyu Yao
  10. Mark E. Rorvig

Papers from Cheng-hsin Luo's perspective

Ordered by how strongly the researchers Cheng-hsin Luo trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Cumulated gain-based evaluation of IR techniques
  2. Expected reciprocal rank for graded relevance
  3. On Crowdsourcing Relevance Magnitudes for Information Retrieval Evaluation
  4. Evaluation measures for preference judgments
  5. MS MARCO: Benchmarking Ranking Models in the Large-Data Regime
  6. Good Evaluation Measures based on Document Preferences
  7. A System for Efficient High-Recall Retrieval
  8. From RankNet to LambdaRank to LambdaMART: An Overview
  9. Low-Cost Preference Judgment via Ties
  10. The simple scalability of documents

Their papers